175 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Princeton University in United States
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this position is in-person on campus at Princeton University. For more information about the Niehaus Center for Globalization and Governance fellowship program, please contact Jennifer Bolton, Assistant Director
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the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible
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-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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research levels in the areas of neuroscience, psychology, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral
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revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation
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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-MOL-00002 PI277839324 Create a Job Match for Similar Jobs About
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: 277494300 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML